Substitution and Schumpeterian Effects over the Life Cycle of Copyrighted Works
Bibliographic record
Abstract
This article develops two key insights. First, copyrighted works are affected by two types of competitive forces: substitutive competition and Schumpeterian competition. Second, the relevant magnitude of each of these competitive forces changes at various points over the life cycle of copyrighted works. The earlier stages of a work's life cycle are dominated by substitution effects, whereby many other works can function as very close substitutes. As the work develops to a full product, to which many other inputs have been added, it becomes less easily substitutable. This process intensifies as network effects of various kinds secure successful works' market position and render them less vulnerable to competition from close imitations. The competitive threat to which such works may be exposed becomes more Schumpeterian in nature: competition from other works that offer something new, and potentially preferable. Generally, copyright law unequivocally discourages merely substitutive competition, but is much less interested in discouraging Schumpeterian competition. This article's time-based analysis provides both a justification for this distinction, as well as grounds for evaluating various existing rules and doctrines. It suggests that broader copyright protection (perhaps broader than the current protection) may be desirable at the early stages of works' life cycle, whereas narrower protection (perhaps narrower than the current) may be justified at later stages.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.003 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".